A General Inertial Projection-Type Algorithm for Solving Equilibrium Problem in Hilbert Spaces with Applications in Fixed-Point Problems
A plethora of applications from mathematical programming, such as minimax, and mathematical programming, penalization, fixed point to mention a few can be framed as equilibrium problems. Most of the techniques for solving such problems involve iterative methods that is why, in this paper, we introdu...
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| Vydáno v: | Axioms Ročník 9; číslo 3; s. 101 |
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01.09.2020
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| Abstract | A plethora of applications from mathematical programming, such as minimax, and mathematical programming, penalization, fixed point to mention a few can be framed as equilibrium problems. Most of the techniques for solving such problems involve iterative methods that is why, in this paper, we introduced a new extragradient-like method to solve equilibrium problems in real Hilbert spaces with a Lipschitz-type condition on a bifunction. The advantage of a method is a variable stepsize formula that is updated on each iteration based on the previous iterations. The method also operates without the previous information of the Lipschitz-type constants. The weak convergence of the method is established by taking mild conditions on a bifunction. For application, fixed-point theorems that involve strict pseudocontraction and results for pseudomonotone variational inequalities are studied. We have reported various numerical results to show the numerical behaviour of the proposed method and correlate it with existing ones. |
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| AbstractList | A plethora of applications from mathematical programming, such as minimax, and mathematical programming, penalization, fixed point to mention a few can be framed as equilibrium problems. Most of the techniques for solving such problems involve iterative methods that is why, in this paper, we introduced a new extragradient-like method to solve equilibrium problems in real Hilbert spaces with a Lipschitz-type condition on a bifunction. The advantage of a method is a variable stepsize formula that is updated on each iteration based on the previous iterations. The method also operates without the previous information of the Lipschitz-type constants. The weak convergence of the method is established by taking mild conditions on a bifunction. For application, fixed-point theorems that involve strict pseudocontraction and results for pseudomonotone variational inequalities are studied. We have reported various numerical results to show the numerical behaviour of the proposed method and correlate it with existing ones. |
| Author | De la Sen, Manuel Rehman, Habib ur Wairojjana, Nopparat Pakkaranang, Nuttapol |
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| Cites_doi | 10.1007/978-1-4613-0239-1_15 10.1080/00036811.2017.1292350 10.1080/10556788.2020.1734805 10.3390/math8071165 10.1080/02331934.2018.1505886 10.1186/s13660-019-2233-1 10.1007/s10898-011-9693-2 10.1007/s40314-020-1093-0 10.1186/1687-1847-2011-1 10.3390/math8050822 10.1080/02331934.2020.1797026 10.1007/978-1-4419-9467-7 10.1080/02331934.2012.745528 10.1007/s10957-009-9529-0 10.3390/sym12040503 10.1006/jmaa.1993.1309 10.1016/0362-546X(92)90159-C 10.1007/BF02614504 10.1186/1687-1812-2011-59 10.1080/02331930601122876 10.1090/S0002-9904-1967-11761-0 10.3390/sym12030463 10.3390/sym12040523 10.1080/02331934.2018.1523404 10.1016/0022-247X(67)90085-6 10.1007/978-3-319-42056-1_10 10.1016/j.jmaa.2006.08.036 10.1007/s10898-015-0330-3 10.1007/BF02192244 10.1007/s10092-019-0308-5 10.3390/en13123292 10.37193/CJM.2020.02.15 10.1007/s40306-019-00338-1 10.1007/s13398-016-0328-9 10.3390/axioms9030099 |
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| SubjectTerms | Algorithms convex optimization Equilibrium equilibrium problems fixed point problems Fixed points (mathematics) Hilbert space Iterative methods Mathematical analysis Mathematical programming Methods Minimax technique Optimization pseudomonotone bifunction variational inequality problems weak convergence |
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| Title | A General Inertial Projection-Type Algorithm for Solving Equilibrium Problem in Hilbert Spaces with Applications in Fixed-Point Problems |
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